Senior GenAI Data Scientist

Alice is a leading platform for Trust & Safety teams worldwide, combining cutting-edge AI with world-class expertise to protect users from the widest spectrum of online harms and keep customers two steps ahead of bad actors.

We are looking for a Senior GenAI Data Scientist with strong hands-on experience in GenAI red teaming, adversarial testing, machine learning, and large-scale data analysis.

You will develop the data science and ML capabilities behind an automated GenAI red-teaming platform. You will analyze and cluster adversarial prompts, identify emerging attack patterns, build models for automated prompt generation and mutation, and develop data-driven methods for prioritizing and evaluating security risks across different AI models.

We are looking for a hands-on technologist with deep expertise in data science: clustering, scaling, machine learning, and statistical analysis.

Key Responsibilities

• Build agents that act as data scientists at scale, reasoning, planning, and executing multi-step workflows to generate and analyze adversarial attacks.
• Manage and analyze prompt and response data from multiple sources (red-team campaigns, model evaluations, synthetic attacks); clean, curate, normalize, and label it for analysis.
• Analyze large volumes of structured and unstructured data to uncover trends, clusters, and anomalies, such as attack families, jailbreak techniques, and previously unseen patterns.
• Develop ML models and predictive algorithms to automate red-teaming.
• Build evaluation and monitoring pipelines to measure attack success and track model behavior across models and providers.
• Use statistical techniques and experiments to validate findings and ensure accuracy and reproducibility.
• Take research to production: build reliable, scalable systems optimized for cost and latency, with solid engineering practices (testing, CI/CD, telemetry).

Must-Have

• 5+ years of hands-on data science or ML experience, programming in Python or R, and SQL.
• 3+ years of experience with Scikit-Learn and PyTorch.
• Hands-on experience in GenAI red teaming, adversarial testing, or LLM security.
• Hands-on experience building and deploying LLM-powered or ML systems in production.
• Strong understanding of LLM design patterns, including prompt engineering, tool calling, structured outputs, and RAG.
• Strong grasp of clustering, embeddings/NLP, semantic similarity, and anomaly/novelty detection.
• Experience building classification, ranking, or prioritization systems.
• Solid background in statistics, experimental design, and model evaluation.
• Experience with Cradle, Apache Hadoop, and Spark, and with scaling ETL and data pipelines.

Nice-to-Have

• Experience building LLM agents or multi-agent workflows with frameworks such as LangGraph, LangChain, or OpenAI Agents SDK.
• Familiarity with evaluation frameworks, MLOps pipelines, and AI observability tooling.
• Data visualization with Tableau, Power BI, or matplotlib.
• Experience with AWS, including Lambda, S3, and EC2.
• Experience running inference on GenAI models via Hugging Face, Bedrock, and Azure.
• Background in Trust & Safety, security, or regulated environments.

Alice is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world's largest enterprises every day. Through Real-Time Guardrails and continuous Red Teaming, backed by deep threat intelligence and coverage of 117+ languages, Alice helps AI, security, and policy teams build GenAI products that stay safe at global scale.